Evidence map›Paper›PMID 17194785›Full record

ArticleGenetics2007

Genetic dissection of ethanol tolerance in the budding yeast Saccharomyces cerevisiae.

X H Hu, M H Wang, T Tan, J R Li, H Yang, L Leach, R M Zhang, Z W Luo

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 175 citations in OpenAlex.

  1. Article
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  4. Review
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  7. Article
  8. Ethanol tolerance in engineered strains of Clostridium thermocellum.Biotechnology for biofuels and bioproducts · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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  17. Article
  18. Article
  19. Rapid Identification of Major QTLFrontiers in microbiology · 2018
    Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

X H HuLaboratory of Population and Quantitative Genetics, Department of Biostatistics, State Key Laboratory of Genetic Engineering, Institute of Biomedical Sciences, School of Life Sciences, Fudan University, Shanghai 200433, China.
M H Wang
T Tan
J R Li
H Yang
L Leach
R M Zhang
Z W Luo
State Key Laboratory of Genetic EngineeringFudan University · CNUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncovering genetic control of variation in ethanol tolerance in natural populations of yeast Saccharomyces cerevisiae is essential for understanding the evolution of fermentation, the dominant lifestyle of the species, and for improving efficiency of selection for strains with high ethanol tolerance, a character of great economic value for the brewing and biofuel industries. To date, as many as 251 genes have been predicted to be involved in influencing this character. Candidacy of these genes was determined from a tested phenotypic effect following gene knockout, from an induced change in gene function under an ethanol stress condition, or by mutagenesis. This article represents the first genomics approach for dissecting genetic variation in ethanol tolerance between two yeast strains with a highly divergent trait phenotype. We developed a simple but reliable experimental protocol for scoring the phenotype and a set of STR/SNP markers evenly covering the whole genome. We created a mapping population comprising 319 segregants from crossing the parental strains. On the basis of the data sets, we find that the tolerance trait has a high heritability and that additive genetic variance dominates genetic variation of the trait. Segregation at five QTL detected has explained approximately 50% of phenotypic variation; in particular, the major QTL mapped on yeast chromosome 9 has accounted for a quarter of the phenotypic variation. We integrated the QTL analysis with the predicted candidacy of ethanol resistance genes and found that only a few of these candidates fall in the QTL regions.

Indexed as

EthanolPhenotypeQuantitative Trait LociChromosome MappingCrosses, GeneticDrug ToleranceGene DosageGenomicsInheritance PatternsPolymorphism, Single NucleotideSaccharomyces cerevisiaeEthanol

Identifiers

PMID17194785
PMCPMC1840089
OpenAlexW2152162730

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.